Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A432AF93955B5521B7280D3B0AF3A5BB33A242F750C59E0B060CEA970F84A5507BF8E |
|
CONTENT
ssdeep
|
768:GyWuPWuy/s65CD5/u9SLGH/LM11QoSxbcNwG/XqmX8UUFuaMdpSxHyOzxHRBaW/m:jaMuyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97555454431f787a |
|
VISUAL
aHash
|
00fe1f3f3fbfbfff |
|
VISUAL
dHash
|
a868777658647414 |
|
VISUAL
wHash
|
003e0f039f1f96f6 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
88707776d8647414,320c206961690c20,45453b88c4e45945 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 694 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)